Javier E. Satulovsky
Impact in
- Surfaces, Coatings and Films top 2%
- Polymer Surface Interaction Studies
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
Papers in
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- Theoretical and Computational Physics 4
-
- Mathematical and Theoretical Epidemiology and Ecology Models 3
- Co-authors
- Igal Szleifer (2 shared papers)Tânia Tomé (2 shared papers)Marcelo A. Carignano (1 shared paper)Fang Fang (1 shared paper)Roger Lui (1 shared paper)Yu‐li Wang (1 shared paper)Ezequiel V. Albano (1 shared paper)Mário J. de Oliveira (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Journal of Mathematical Biology (1 paper)The Journal of Chemical Physics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Javier E. Satulovsky
9 papers receiving 626 citations
Peers
Comparison fields: 5 of 99
- Surfaces, Coatings and Films 207
- Condensed Matter Physics 84
- Mathematical Physics 60
- Biomaterials 78
- Modeling and Simulation 24
Countries citing papers authored by Javier E. Satulovsky
This map shows the geographic impact of Javier E. Satulovsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Javier E. Satulovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier E. Satulovsky more than expected).
Fields of papers citing papers by Javier E. Satulovsky
This network shows the impact of papers produced by Javier E. Satulovsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Javier E. Satulovsky. The network helps show where Javier E. Satulovsky may publish in the future.
Co-authors
The 9 scholars most cited alongside Javier E. Satulovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 210 | |
| 2 | 2005 | 137 | |
| 3 | 1994 | 126 | |
| 4 | 2008 | 84 | |
| 5 | 1992 | 37 | |
| 6 | 1997 | 17 | |
| 7 | 1996 | 17 | |
| 8 | 1997 | 9 | |
| 9 | 1998 | 2 |
About Javier E. Satulovsky
Javier E. Satulovsky is a scholar working on Condensed Matter Physics, Public Health, Environmental and Occupational Health, Biomedical Engineering, Mathematical Physics and Computational Theory and Mathematics, having authored 9 papers that have together received 639 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Stochastic processes and statistical mechanics (2 papers), Nanofabrication and Lithography Techniques (2 papers), Cellular Automata and Applications (2 papers), Evolution and Genetic Dynamics (2 papers), Polymer Surface Interaction Studies (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (207 citations), Condensed Matter Physics (84 citations), Mathematical Physics (60 citations), Biomaterials (78 citations) and Modeling and Simulation (24 citations). Javier E. Satulovsky has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Igal Szleifer, Tânia Tomé, Marcelo A. Carignano, Fang Fang, Roger Lui, Yu‐li Wang, Ezequiel V. Albano, Mário J. de Oliveira and Roberto Monetti. Their work appears in journals such as Biophysical Journal, Journal of Mathematical Biology, The Journal of Chemical Physics, Proceedings of the National Academy of Sciences and Journal of Theoretical Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.